Meteorology Commons^™

Ultrahigh Resolution Ote-Ms Data For Ambient Daytime And Nighttime Aerosol And Ambient Fog Water From San Pietro Capofiume, Matthew Brege, Lynn Mazzoleni

Michigan Tech Research Data

This dataset and the methods used to obtain it are described in Chapter 3 of "EXTREME MOLECULAR DIVERSITY IN BIOMASS BURNING ATMOSPHERIC ORGANIC AEROSOL OBSERVED THROUGH ULTRAHIGH RESOLUTION MASS SPECTROMETRY" a Dissertation prepared by Matthew Brege and submitted as a Doctoral Thesis. This work can be accessed here: https://doi.org/10.37099/mtu.dc.etdr/927

Briefly, four days worth of concurrent daytime/nighttime aerosol and fog water samples were collected at San Pietro Capofiume in the Emilia Romagna region of Italy from 1-Dec to 4-Dec, 2015. The water soluble extracts of the aerosol filters and aliquots of the fog water were analyzed using ultrahigh resolution Orbitrap mass …

Data For Paper "Agile Adaptive Radar Sampling Of Fast-Evolving Atmospheric Phenomena Guided By Satellite Imagery And Surface Cameras", Mariko Oue, Pavlos Kollias, Edward Luke, Katia Lamer

SoMAS Research Data

The data include:

• Stony Brook University phased array radar (SKYLER) data collected on August 21, 2019 and September 2, 2019.
• Stony Brook University Ka-band scanning polarimetric cloud radar (KASPR) data collected on August 21, 2019, August 25, 2019, and September 2, 2019.

Those data were used in the paper "Agile adaptive radar sampling of fast-evolving atmospheric phenomena guided by satellite imagery and surface cameras" submitted to Geophysical Research Letters.

Multi-Doppler Radar Wind Retrieval Data For Deep Convective Clouds Observed In The Southern Great Plains On May 11, 2011, Mariko Oue, Kirk North, Andrea Neumann

SoMAS Research Data

The US Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) program’s Southern Great Plains (SGP) site includes a heterogeneous distributed scanning Doppler radar network suitable for collecting coordinated Doppler velocity measurements in deep convective clouds. The surrounding National Weather Service (NWS) Next Generation Weather Surveillance Radar 1988 Doppler (NEXRAD WSR-88D) further supplements this network. The multi-Doppler radar reflectivity and velocity measurements are assimilated in a three-dimensional variational (3DVAR) algorithm to retrieve horizontal and vertical air motions in deep convective clouds. The data includes the 3D wind fields retrieved over a large analysis domain (100 km x 100 km) at storm-scale …

Multi-Doppler Radar Wind Retrieval Data For Deep Convective Cloud Observed On May 11, 2020, Mariko Oue, Kirk North, Andrea Neumann

SoMAS Research Data

The US Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) program’s Southern Great Plains (SGP) site includes a heterogeneous distributed scanning Doppler radar network suitable for collecting coordinated Doppler velocity measurements in deep convective clouds. The surrounding National Weather Service (NWS) Next Generation Weather Surveillance Radar 1988 Doppler (NEXRAD WSR-88D) further supplements this network. The multi-Doppler radar reflectivity and velocity measurements are assimilated in a three-dimensional variational (3DVAR) algorithm to retrieve horizontal and vertical air motions in deep convective clouds. The data includes the 3D wind fields retrieved over a large analysis domain (100 km x 100 km) at storm-scale …

Data From: Observing System Simulation Experiments For An Array Of Autonomous Biogeochemical Profiling Floats In The Southern Ocean, Igor Kamenkovich, Angelique Haza, Alison R. Gray, Carolina O. Dufour, Zulema Garraffo

Supplementary Data and Tools

Data in this collection is from Observation System Simulation Experiments (OSSEs) that were carried in support of the SOCCOM program. Synthetic profiles were extracted from model-simulated dissolved oxygen and inorganic carbon. Full maps were then reconstructed from these sparse datasets, using objective mapping. For description of the model and reconstruction method please see Kamenkovich, I., A. Haza, A. Gray, C. Dufour, and Z. Garraffo: "Observing System Simulation Experiments for an array of autonomous biogeochemical profiling floats in the Southern Ocean", Journal of Geophysical Research, DOI: 10.1002/2017JC012819